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ETL and ELT · November 2026 Edition

Hevo Data vs Apache Airflow

One of fourteen models named Hevo Data first on the direct prompt; zero named Apache Airflow. Hevo Data was named by thirteen of the fourteen models and Apache Airflow by ten and Hevo Data carries 31 labels and Apache Airflow 21, so the shares are not directly comparable.

Hevo Data

accepted challenger

Named in one category this edition.

Apache Airflow

accepted challenger

Named in two categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate16%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 19; printed, not drawn.
Labels3121A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Hevo Data reading right to left. Rank and label count are printed, not drawn.Fivetran was named alongside these two in thirteen of the fourteen direct answers. Airbyte vs Hevo Data · Airbyte vs Apache Airflow · Fivetran vs Hevo Data

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the ETL and ELT page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Hevo DataFirst choices, of fourteen modelsApache Airflow
Direct101 against Hevo Data
Paraphrase001 against Hevo Data · 1 against Apache Airflow
Comparative00
Budget-constrained111 against Hevo Data
Scale-constrained00
Negative012 against Hevo Data · 1 against Apache Airflow
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Hevo Data and Apache Airflow stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Hevo Data Apache Airflow first choice named as an alternative argued againstblank: not namedEach cell is one answer, Hevo Data on the left and Apache Airflow on the right.

The direct prompt

The plain question, one answer per model, grouped by where Hevo Data and Apache Airflow stood in it.

Hevo Data first, Apache Airflow not the choice

1 of 14 modelsApache Airflow was named in the answer but not as the choice, or not at all.
Perplexity SonarHevo Data alternatives: Airbyte, Fivetran, Integrate.io, Matillion

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
DeepSeek V4 FlashFivetran alternatives: Airbyte, Hevo Data, Integrate.io
Kimi K2Integrate.io alternatives: Airbyte, Apache Airflow, Fivetran, Kleene.ai, dbt
GLM 4.7 FlashXIntegrate.io alternatives: Airbyte, Fivetran, Hevo Data, Matillion, Stitch
MiniMax M2.5Integrate.io alternatives: Airbyte, Apache Airflow, Fivetran, dbt
Muse Glimmer 30BIntegrate.io, Kleene.ai alternatives: Airbyte, Fivetran, Hevo Data

Neither was named

8 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
GPT-5.4 miniFivetran alternatives: Airbyte, Matillion
Gemini 3.5 FlashFivetran alternatives: Airbyte, Matillion, Rivery, dbt
Grok 4.20Integrate.io alternatives: Airbyte, Fivetran, Matillion, dbt
Mistral SmallFivetran alternatives: Integrate.io, Kleene.ai, Matillion
Llama 4 MaverickFivetran, Integrate.io, Kleene.ai
Qwen 3.7 FlashFivetran alternatives: Airbyte, Matillion
GPT-6 LunaFivetran alternatives: Airbyte, dbt

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Hevo Data leads by twenty-nine points.
Hevo Data29%#2 of 15
Apache Airflow0%#14 of 15
The full small business standing →
Mid-marketThe figures above
Hevo Data leads by two points.
Hevo Data4%#5 of 19
Apache Airflow2%#6 of 19
The full mid-market standing →
Enterprise
The order flips: Apache Airflow leads at enterprise.
Apache Airflow2%#8 of 14
Hevo Data0%#11 of 14
The full enterprise standing →

What the models said about Hevo Data

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Examples commonly cited with volume-driven pricing are Fivetran, Hevo Data and similar managed connectors.” Muse Glimmer 30B · negative prompt · soft negative
“Hevo or Integrate.io are solid all-in-ones but can get expensive or less flexible for transformations.” Grok 4.20 · paraphrase prompt · soft negative
“These can be good products, but usage-based billing may rise sharply with data volume” Perplexity Sonar · negative prompt · soft negative
“Hevo Data: A no-code, all-in-one platform with flat pricing from $239/month, real-time visibility into every sync, and 24×7 support.” Llama 4 Maverick · budget prompt · first choice
“Hevo Data is the best default choice” Perplexity Sonar · direct prompt · first choice
“If you prefer a fully managed, no-code solution with predictable pricing, Hevo Data or Skyvia are excellent options.” Mistral Small · budget prompt · alternative

What the models said about Apache Airflow

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.

“Apache Airflow or Airbyte are popular choices because they're free, have strong community support” Claude Haiku 4.5 · budget prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.